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Handbook of Evolutionary Computation

Thomas Baeck D. B. Fogel Z. Michalewicz



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Institute of Physics Publishing
01 January 1997
Machine learning
Many scientists and engineers now use the paradigms of evolutionary computation (genetic algorithms, evolution strategies, evolutionary programming, genetic programming, classifier systems, and combinations or hybrids) to tackle problems that are either intractable or unrealistically time consuming to solve through traditional computational strategies. The Handbook of Evolutionary Computation addresses the need for a comprehensive source of reference in the maturing field of evolutionary computation. The handbook is available in a looseleaf print format and an online format.
Edited by:   Thomas Baeck, D. B. Fogel, Z. Michalewicz
Imprint:   Institute of Physics Publishing
Country of Publication:   United Kingdom
Dimensions:   Height: 279mm,  Width: 216mm,  Spine: 58mm
Weight:   3.765kg
ISBN:   9780750308953
ISBN 10:   0750308958
Pages:   1130
Publication Date:   01 January 1997
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
Foreword by Kenneth de Jong, Hans-Paul Schwefel and Lawrence J. Fogel. Preface. A. Introduction. B. Fundamental Concepts of Evolutionary Computation. C. Evolutionary Computation Models. D. Hybrid Approaches. E. Evolutionary Computation Implementations. F. Applications of Evolutionary Computation. G. Evolutionary Computation in Practice: Case Studies.

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